metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
- flux
- dev
- anime
- real-anime
- art
widget:
- text: >-
A photo of an anime model wearing a trendy oversized sweater and denim
shorts, sitting on a swing in a park with hands gripping the chains. The
golden hour sunlight filters through the trees, creating a magical
atmosphere. Fashion photography, high resolution, 35mm lens, f/2.8,
natural lighting, global illumination. --ar 85:128 --v 6.0 --style raw.
output:
url: images/000.png
- text: >-
A photo of the anime model wearing a white bodysuit and beige trench coat,
posing in front of a train station with hands on head, soft light, sunset,
fashion photography, high resolution, 35mm lens, f/22, natural lighting,
global illumination. --ar 85:128 --v 6.0 --style raw
output:
url: images/111.png
- text: >-
A photo of an anime model wearing a sleek black jumpsuit and a stylish
oversized denim jacket, posing confidently in front of a modern skyscraper
with hands on hips. Soft light filters through the buildings, creating a
warm glow during golden hour. Fashion photography, high resolution, 50mm
lens, f/2.8, natural lighting, global illumination. --ar 85:128 --v 6.0
--style raw.
output:
url: images/222.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Real Anime
license: creativeml-openrail-m
Flux-Dev-Real-Anime-LoRA
The model is still in the training phase. This is not the final version and may contain artifacts and perform poorly in some cases.
Setting Up
import torch
from pipelines import DiffusionPipeline
base_model = "black-forest-labs/FLUX.1-dev"
pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=torch.bfloat16)
lora_repo = "prithivMLmods/Flux-Dev-Real-Anime-LoRA"
trigger_word = "Real Anime" # Leave trigger_word blank if not used.
pipe.load_lora_weights(lora_repo)
device = torch.device("cuda")
pipe.to(device)
app.py
import gradio as gr
gr.load("prithivMLmods/Flux-Dev-Real-Anime-LoRA").launch()
pythonproject.py
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
import gradio as gr
def image_generator(prompt):
pass
interface = gr.Interface(fn=image_generator, inputs="text", outputs="image")
app = FastAPI()
app.add_middleware(
CORSMiddleware,
allow_origins=["*"],
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
app = gr.mount_gradio_app(app, interface, path="/")
App File Structure
/project-root/
β
βββ .gitattributes
βββ README.md
βββ app.py
βββ pythonproject.py
Trigger words
You should use Real Anime
to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.